{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 运行版本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3.8.13 (default, Mar 28 2022, 06:59:08) [MSC v.1916 64 bit (AMD64)]'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "\n",
    "sys.version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2.6.0'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import tensorflow\n",
    "\n",
    "tensorflow.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.10.1'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import torch\n",
    "\n",
    "torch.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !python -m deepxde.backend.set_default_backend tensorflow.compat.v1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using backend: tensorflow.compat.v1\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From G:\\Anaconda3\\envs\\py3.8\\lib\\site-packages\\tensorflow\\python\\compat\\v2_compat.py:101: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "non-resource variables are not supported in the long term\n",
      "WARNING:tensorflow:From G:\\Anaconda3\\envs\\py3.8\\lib\\site-packages\\deepxde\\nn\\initializers.py:118: The name tf.keras.initializers.he_normal is deprecated. Please use tf.compat.v1.keras.initializers.he_normal instead.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'1.1.3'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import deepxde\n",
    "\n",
    "deepxde.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2 拉普拉斯方程(Laplace's equation)\n",
    "\n",
    "本节介绍Laplace方程的定义以及它的基本解。\n",
    "\n",
    "\n",
    "\n",
    "## 2.1 基本定义\n",
    "\n",
    "记 $\\large x=(x_1,\\cdots,x_n) \\in \\mathbb{R}^n, u=u(x), 拉普拉斯算子 \\Delta u = \\sum^n_{i=1} u_{x_i x_i} $，Laplace方程又称为“**位势方程**”, 最有用的PDE之一无疑。包括Laplace方程\n",
    "$$\n",
    "\\large \\Delta u = 0 \\tag{2.1}\n",
    "$$\n",
    "以及Poisson方程\n",
    "$$\n",
    "\\large - \\Delta u = f.  \\tag{2.2}\n",
    "$$\n",
    "在上面两个方程中，$x \\in U$ 且未知量为 $\\large u:\\bar{U} \\to \\mathbb{R}, u = u(x)$，这里 $u \\subset \\mathbb{R}^n$ 是开集. 而在第二个方程中 $f:U \\to \\mathbb{R}$ 也是给定的。\n",
    "\n",
    "**定义2.1[调和函数]** 假设$u \\in C^2$ 且满足 $\\Delta u = 0$，则称 $u$ 为调和函数。\n",
    "\n",
    "\n",
    "\n",
    "## 2.2 基本解\n",
    "\n",
    "基本解(fundamental solution)的来源: 研究PDE的一个好的方式是去找某个特解. 由于这个PDE是线性的, 所以可以用特解去找更复杂的解. 此外, 为了寻找显然的特解, 通常会把注意力集中在某类具有**对称性**的函数.\n",
    "\n",
    "**定义2.2** 函数\n",
    "$$\n",
    "\\large\n",
    "\\Phi(x) = \n",
    "\\begin{cases}\n",
    "\\begin{aligned}\n",
    "&-\\frac{1}{2\\pi} \\ln|x|, & n=2\\\\\n",
    "&\\frac{1}{n(n-2)\\alpha(n)}   \\frac{1}{|x|^{n-2}}, & n\\geq3\\\\\n",
    "\\end{aligned}\n",
    "\\end{cases}\n",
    "(x \\in \\mathbb{R}^n, x \\neq 0) \\tag{2.3} \\\\\n",
    "$$\n",
    "叫做Laplace方程的**基本解**，这里 $\\large \\alpha(n) = \\mathbb{R}^n中单位球的体积 = \\frac{\\sqrt{\\pi^n}}{ \\Gamma(\\frac{n}{2}+1)}$。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 代码来源\n",
    "https://deepxde.readthedocs.io/en/latest/demos/laplace.disk.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 磁盘上的拉普拉斯方程\n",
    "## 问题设置\n",
    "我们将在极坐标系中求解拉普拉斯方程：\n",
    "\n",
    "$$r\\frac{dy}{dr}+r^2\\frac{dy}{dr^2}+\\frac{dy}{dθ^2}=0,r∈[0,1],θ∈[0,2π]$$\n",
    "与狄利克雷边界条件\n",
    "\n",
    "$$y(1,θ)=cos(θ)$$\n",
    "和周期性边界条件\n",
    "\n",
    "$$y(r,θ+2π)=y(r,θ).$$\n",
    "参考解决方案是 $y=rcos(θ)$."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 导入模块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using backend: tensorflow.compat.v1\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From G:\\Anaconda3\\envs\\py3.8\\lib\\site-packages\\tensorflow\\python\\compat\\v2_compat.py:101: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "non-resource variables are not supported in the long term\n",
      "WARNING:tensorflow:From G:\\Anaconda3\\envs\\py3.8\\lib\\site-packages\\deepxde\\nn\\initializers.py:118: The name tf.keras.initializers.he_normal is deprecated. Please use tf.compat.v1.keras.initializers.he_normal instead.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import deepxde as dde\n",
    "import numpy as np\n",
    "from deepxde.backend import tf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 定义PDE 问题"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "拉普拉斯方程：\n",
    "\n",
    "$$r\\frac{dy}{dr}+r^2\\frac{dy}{dr^2}+\\frac{dy}{dθ^2}=0,r∈[0,1],θ∈[0,2π]$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pde(x, y):\n",
    "    dy_r = dde.grad.jacobian(y, x, i=0, j=0)\n",
    "    dy_rr = dde.grad.hessian(y, x, i=0, j=0)\n",
    "    dy_thetatheta = dde.grad.hessian(y, x, i=1, j=1)\n",
    "    return x[:, 0:1] * dy_r + x[:, 0:1] ** 2 * dy_rr + dy_thetatheta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Rectangle 𝑟∈[0,1],θ∈[0,2π]\n",
    "\n",
    "geom = dde.geometry.Rectangle(xmin=[0, 0], xmax=[1, 2 * np.pi])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "狄利克雷边界条件\n",
    "\n",
    "$$y(1,θ)=cos(θ)$$\n",
    "和周期性边界条件\n",
    "\n",
    "$$y(r,θ+2π)=y(r,θ).$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def boundary(x, on_boundary):\n",
    "    return on_boundary and np.isclose(x[0], 1)\n",
    "\n",
    "bc_rad = dde.DirichletBC(\n",
    "    geom,\n",
    "    lambda x: np.cos(x[:, 1:2]),\n",
    "    lambda x, on_boundary: on_boundary and np.isclose(x[0], 1),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "方程的解是 $y=rcos(θ)$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def solution(x):\n",
    "    r, theta = x[:, 0:1], x[:, 1:]\n",
    "    return r * np.cos(theta)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "定义PDE问题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "G:\\Anaconda3\\envs\\py3.8\\lib\\site-packages\\skopt\\sampler\\sobol.py:246: UserWarning: The balance properties of Sobol' points require n to be a power of 2. 0 points have been previously generated, then: n=0+2542=2542. \n",
      "  warnings.warn(\"The balance properties of Sobol' points require \"\n",
      "G:\\Anaconda3\\envs\\py3.8\\lib\\site-packages\\skopt\\sampler\\sobol.py:246: UserWarning: The balance properties of Sobol' points require n to be a power of 2. 0 points have been previously generated, then: n=0+84=84. \n",
      "  warnings.warn(\"The balance properties of Sobol' points require \"\n"
     ]
    }
   ],
   "source": [
    "data = dde.data.PDE(\n",
    "    geom, pde, bc_rad, num_domain=2540, num_boundary=80, solution=solution\n",
    ")\n",
    "\n",
    "# 数字 2540 是在域内采样的训练残差点数，数字 80 是在边界上采样的训练点数。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 定义net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 如果我们用笛卡尔坐标重写这个问题，变量的形式为[rsin(θ),rcos(θ)]. \n",
    "# 我们将它们用作特征来满足某些潜在的物理约束，从而使网络沿θ坐标，周期为2π.\n",
    "\n",
    "def feature_transform(x):\n",
    "    return tf.concat(\n",
    "        [x[:, 0:1] * tf.sin(x[:, 1:2]), x[:, 0:1] * tf.cos(x[:, 1:2])], axis=1\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "net = dde.maps.FNN([2] + [50] * 3 + [1], \"tanh\", \"Glorot normal\")\n",
    "\n",
    "net.apply_feature_transform(feature_transform)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 定义model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compiling model...\n",
      "Building feed-forward neural network...\n",
      "'build' took 0.065929 s\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "G:\\Anaconda3\\envs\\py3.8\\lib\\site-packages\\keras\\legacy_tf_layers\\core.py:236: UserWarning: `tf.layers.dense` is deprecated and will be removed in a future version. Please use `tf.keras.layers.Dense` instead.\n",
      "  warnings.warn('`tf.layers.dense` is deprecated and '\n",
      "G:\\Anaconda3\\envs\\py3.8\\lib\\site-packages\\keras\\engine\\base_layer_v1.py:1676: UserWarning: `layer.apply` is deprecated and will be removed in a future version. Please use `layer.__call__` method instead.\n",
      "  warnings.warn('`layer.apply` is deprecated and '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'compile' took 1.666418 s\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model = dde.Model(data, net)\n",
    "model.compile(\"adam\", lr=2e-5, metrics=[\"l2 relative error\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## model.train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initializing variables...\n",
      "Training model...\n",
      "\n",
      "Step      Train loss              Test loss               Test metric   \n",
      "0         [1.83e-03, 5.39e-01]    [1.83e-03, 5.39e-01]    [1.05e+00]    \n",
      "1000      [1.68e-02, 1.36e-03]    [1.68e-02, 1.36e-03]    [3.43e-02]    \n",
      "2000      [8.92e-03, 5.40e-04]    [8.92e-03, 5.40e-04]    [2.18e-02]    \n",
      "3000      [4.38e-03, 2.25e-04]    [4.38e-03, 2.25e-04]    [1.48e-02]    \n",
      "4000      [1.47e-03, 1.06e-04]    [1.47e-03, 1.06e-04]    [1.07e-02]    \n",
      "5000      [1.41e-04, 5.86e-05]    [1.41e-04, 5.86e-05]    [7.85e-03]    \n",
      "6000      [2.94e-05, 3.81e-05]    [2.94e-05, 3.81e-05]    [6.38e-03]    \n",
      "7000      [2.37e-05, 2.72e-05]    [2.37e-05, 2.72e-05]    [5.46e-03]    \n",
      "8000      [1.91e-05, 1.76e-05]    [1.91e-05, 1.76e-05]    [4.48e-03]    \n",
      "9000      [1.56e-05, 1.02e-05]    [1.56e-05, 1.02e-05]    [3.51e-03]    \n",
      "10000     [1.22e-05, 5.24e-06]    [1.22e-05, 5.24e-06]    [2.65e-03]    \n",
      "11000     [8.82e-06, 2.42e-06]    [8.82e-06, 2.42e-06]    [1.97e-03]    \n",
      "12000     [5.96e-06, 1.05e-06]    [5.96e-06, 1.05e-06]    [1.47e-03]    \n",
      "13000     [3.85e-06, 4.70e-07]    [3.85e-06, 4.70e-07]    [1.11e-03]    \n",
      "14000     [2.41e-06, 2.32e-07]    [2.41e-06, 2.32e-07]    [8.76e-04]    \n",
      "15000     [1.46e-06, 1.22e-07]    [1.46e-06, 1.22e-07]    [6.33e-04]    \n",
      "16000     [8.37e-07, 7.27e-08]    [8.37e-07, 7.27e-08]    [4.25e-04]    \n",
      "17000     [4.71e-07, 6.98e-08]    [4.71e-07, 6.98e-08]    [6.07e-04]    \n",
      "18000     [2.73e-07, 2.58e-08]    [2.73e-07, 2.58e-08]    [2.33e-04]    \n",
      "19000     [1.70e-07, 1.75e-08]    [1.70e-07, 1.75e-08]    [1.73e-04]    \n",
      "20000     [1.15e-07, 1.27e-08]    [1.15e-07, 1.27e-08]    [1.30e-04]    \n",
      "21000     [8.41e-08, 1.01e-08]    [8.41e-08, 1.01e-08]    [1.08e-04]    \n",
      "22000     [6.54e-08, 8.61e-09]    [6.54e-08, 8.61e-09]    [1.01e-04]    \n",
      "23000     [5.32e-08, 7.48e-08]    [5.32e-08, 7.48e-08]    [6.26e-04]    \n",
      "24000     [4.44e-08, 7.01e-09]    [4.44e-08, 7.01e-09]    [8.76e-05]    \n",
      "25000     [3.81e-08, 6.52e-09]    [3.81e-08, 6.52e-09]    [8.34e-05]    \n",
      "26000     [3.31e-08, 6.10e-09]    [3.31e-08, 6.10e-09]    [8.07e-05]    \n",
      "27000     [2.91e-08, 5.73e-09]    [2.91e-08, 5.73e-09]    [8.05e-05]    \n",
      "28000     [2.61e-08, 7.64e-08]    [2.61e-08, 7.64e-08]    [6.42e-04]    \n",
      "29000     [2.35e-08, 1.90e-08]    [2.35e-08, 1.90e-08]    [3.04e-04]    \n",
      "30000     [2.13e-08, 4.66e-09]    [2.13e-08, 4.66e-09]    [6.92e-05]    \n",
      "\n",
      "Best model at step 30000:\n",
      "  train loss: 2.60e-08\n",
      "  test loss: 2.60e-08\n",
      "  test metric: [6.92e-05]\n",
      "\n",
      "'train' took 319.052771 s\n",
      "\n"
     ]
    }
   ],
   "source": [
    "losshistory, train_state = model.train(epochs=30000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制图像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "def plot_loss_history(loss_history):\n",
    "    \"\"\"Plot the training and testing loss history.\n",
    "\n",
    "    Note:\n",
    "        You need to call ``plt.show()`` to show the figure.\n",
    "\n",
    "    Args:\n",
    "        loss_history: ``LossHistory`` instance. The first variable returned from\n",
    "            ``Model.train()``.\n",
    "    \"\"\"\n",
    "    loss_train = np.sum(loss_history.loss_train, axis=1)\n",
    "    loss_test = np.sum(loss_history.loss_test, axis=1)\n",
    "\n",
    "    plt.figure(figsize=(10, 8))\n",
    "    plt.semilogy(loss_history.steps, loss_train, label=\"Train loss\")\n",
    "    plt.semilogy(loss_history.steps, loss_test, label=\"Test loss\")\n",
    "    for i in range(len(loss_history.metrics_test[0])):\n",
    "        plt.semilogy(\n",
    "            loss_history.steps,\n",
    "            np.array(loss_history.metrics_test)[:, i],\n",
    "            label=\"Test metric\",\n",
    "        )\n",
    "    plt.xlabel(\"Steps\")\n",
    "    plt.ylabel(\"loss\")\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_loss_history(losshistory)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "def _pack_data(train_state):\n",
    "    def merge_values(values):\n",
    "        if values is None:\n",
    "            return None\n",
    "        return np.hstack(values) if isinstance(values, (list, tuple)) else values\n",
    "\n",
    "    y_train = merge_values(train_state.y_train)\n",
    "    y_test = merge_values(train_state.y_test)\n",
    "    best_y = merge_values(train_state.best_y)\n",
    "    best_ystd = merge_values(train_state.best_ystd)\n",
    "    return y_train, y_test, best_y, best_ystd\n",
    "\n",
    "def plot_best_state(train_state):\n",
    "    \"\"\"Plot the best result of the smallest training loss.\n",
    "\n",
    "    This function only works for 1D and 2D problems. For other problems and to better\n",
    "    customize the figure, use ``save_best_state()``.\n",
    "\n",
    "    Note:\n",
    "        You need to call ``plt.show()`` to show the figure.\n",
    "\n",
    "    Args:\n",
    "        train_state: ``TrainState`` instance. The second variable returned from\n",
    "            ``Model.train()``.\n",
    "    \"\"\"\n",
    "    if isinstance(train_state.X_train, (list, tuple)):\n",
    "        print(\n",
    "            \"Error: The network has multiple inputs, and plotting such result han't been implemented.\"\n",
    "        )\n",
    "        return\n",
    "\n",
    "    y_train, y_test, best_y, best_ystd = _pack_data(train_state)\n",
    "    y_dim = best_y.shape[1]\n",
    "\n",
    "    # Regression plot\n",
    "    # 1D\n",
    "    if train_state.X_test.shape[1] == 1:\n",
    "        idx = np.argsort(train_state.X_test[:, 0])\n",
    "        X = train_state.X_test[idx, 0]\n",
    "        plt.figure()\n",
    "        for i in range(y_dim):\n",
    "            if y_train is not None:\n",
    "                plt.plot(train_state.X_train[:, 0], y_train[:, i], \"ok\", label=\"Train\")\n",
    "            if y_test is not None:\n",
    "                plt.plot(X, y_test[idx, i], \"-k\", label=\"True\")\n",
    "            plt.plot(X, best_y[idx, i], \"--r\", label=\"Prediction\")\n",
    "            if best_ystd is not None:\n",
    "                plt.plot(\n",
    "                    X, best_y[idx, i] + 2 * best_ystd[idx, i], \"-b\", label=\"95% CI\"\n",
    "                )\n",
    "                plt.plot(X, best_y[idx, i] - 2 * best_ystd[idx, i], \"-b\")\n",
    "        plt.xlabel(\"x\")\n",
    "        plt.ylabel(\"y\")\n",
    "        plt.legend()\n",
    "    # 2D\n",
    "    elif train_state.X_test.shape[1] == 2:\n",
    "        for i in range(y_dim):\n",
    "            plt.figure(figsize=(20, 12))\n",
    "            ax = plt.axes(projection=Axes3D.name)\n",
    "            ax.plot3D(\n",
    "                train_state.X_test[:, 0],\n",
    "                train_state.X_test[:, 1],\n",
    "                best_y[:, i],\n",
    "                \".\",\n",
    "            )\n",
    "            ax.set_xlabel(\"$x_1$\")\n",
    "            ax.set_ylabel(\"$x_2$\")\n",
    "            ax.set_zlabel(\"$y_{}$\".format(i + 1))\n",
    "\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_best_state(train_state)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dde.saveplot(losshistory, train_state, issave=True, isplot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "py3.8",
   "language": "python",
   "name": "py3.8"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
